People with disabilities have significantly lower employment rates than people
without disabilities (Harris Interactive, Inc., 2004). One possible contributor
to this disparity is that primary disabling conditions place people at greater
risk for secondary health conditions, which may undermine their ability to
secure or maintain employment.
Secondary conditions refer to preventable
conditions that occur as a result of, or in conjunction with, a primary
disability. For instance, a primary disability such as spinal cord injury may
increase risk for several secondary conditions, including pain, pressure
sores, urinary tract infections, weight problems, and depression.
Many secondary conditions are either preventable or manageable. Our research on
the Living Well with a Disability health promotion program, delivered by
Centers for Independent Living (CILs) to their consumers, found that
participants reported fewer secondary conditions and reduced medical costs after
completing the Living Well workshop (Ravesloot, Seekins, & White, 2005).
Likewise, evaluations of work site health promotion programs have found that
participation enhanced employee productivity (through decreased absenteeism
rates) and decreased insurance claims (Aldana, 2001; Pelletier, 2001).
Unfortunately, people with disabilities who are not employed lack access to work
site health promotion programs and disposable income to pay for community based
health promotion activities.
One strategy to overcome these barriers is to incorporate health promotion
activities into a Vocational Rehabilitation (VR) setting. Any expansion of VR
services, however, requires hard evidence about effectiveness in terms of
vocational outcomes. This research is the first step toward building evidence on
the relationship between health and employment for people with disabilities.
Our research hypotheses include:
- The most significant secondary conditions involve
issues related to depression, physical conditioning, weight, and similar
factors that are responsive to health and wellness interventions.
- Higher rates of secondary conditions will be associated
with decreased rates of employment outcomes or long-term employment.
- Higher rates of secondary conditions will be associated
with decreased completion rates for VR training, education, and other
services.
- Individuals who engage in healthful behavior will
experience improved employment and quality of life outcomes.
- VR consumers in rural areas will report more secondary
conditions and greater limitations due to secondary conditions than their
urban counterparts.
Methods and Approach
RTC: Rural is exploring causal relationships among
secondary conditions, health promoting lifestyle behaviors, and employment
outcomes through longitudinal data collection. During the spring and summer of
2005, VR counselors in ten states identified and recruited 264 newly-eligible
clients to provide longitudinal data about their health and vocational outcomes.
The longitudinal data collection consists of four surveys delivered at 6-month
intervals to learn if health antecedents are associated
with employment and vocational outcomes. Baseline data have been collected on
the prevalence and incidence of secondary conditions, limitations to activities
of daily living, health promoting lifestyle behaviors, and subjective ratings of
quality of life. In 2006, subsequent surveys will include additional questions
about progression through VR services and associated employment outcomes.
Research Findings
Although they cannot address our research
hypotheses, the baseline data are important to our understanding of how this
sample of VR clients compares to past participants of the Living Well health promotion program. If the groups have equivalent health profiles, we
might expect to see similar outcomes from participation in a VR-based Living
Well health promotion program. Alternately, if the
groups have significant differences, this may help inform researchers on
modifications to the Living Well curriculum to make it appropriate for a
VR group.
Table 1 compares baseline demographic information for the VR sample (n = 264)
with baseline demographic information for a national sample of Living Well participants (n =246) recruited from Centers for Independent Living (CILs).
There were strong similarities between the VR and CIL groups regarding age,
race, and marital status. The majority of participants in both groups also had
some college education.
Table 1: Demographic Comparisons
Text Description of Table 1
| |
VR (n=264) |
CIL (n=246) |
Age |
43.2 years |
45.4 years |
Gender |
52.3% female |
64.3% female |
Married |
40.3% |
36.6% |
Caucasian |
79.8% |
82.4% |
African American |
13.0% |
16.2% |
Employed (part/full-time) |
30.5% |
16.2% |
Insurance Coverage*
Medicaid
Medicare
Private
No Health Insurance |
26.6%
27.8%
27.0%
29.7%
|
55.9%
52.6%
35.8%
3.3%
|
*Please note: Many individuals participate in multiple
insurance programs.
At baseline, the CIL sample reported higher ratings of private insurance
coverage and
Medicaid and Medicare enrollment. Almost one-third of VR clients (29.7%) did not
have
any health insurance coverage versus 3.3% for the CIL sample. This difference
should
be considered when exploring potential reimbursement models for health promotion
programming. For individuals receiving CIL services, reimbursement through
health
insurance programs may be a better solution than it would be for VR clients.
The two groups reported similar rates of secondary health conditions at baseline.
Respondents indicated the degree of limitation from certain secondary conditions
on a
scale where 0 = no limitation, 1 = mild limitation (1-5 hours per week), 2 =
moderate
limitation (6-10 hours per week), and 3 = significant limitation (more than 11
hours per
week). Aggregating the ratings for 29 secondary conditions (with a possible
range of 0
to 87), the average score was 23.5 for the VR sample and 24.1 for the CIL
sample.
Group means were not statistically different. Additionally, nine of the ten most
problematic secondary conditions at baseline appeared in both samples.
Table 2 reports on the top ten secondary conditions for the VR and CIL samples
and compares the average severity ratings for each condition. With the exception
of
mobility issues, the VR sample reported higher limitation ratings for the top
ten
secondary conditions than the CIL sample. This speaks to the importance of
health
promotion programming within the VR system because the majority of these top ten
conditions are responsive to health promotion interventions. Individuals in the
CIL
sample, on the other hand, reported a greater number of secondary conditions, on
average, than that VR sample.
Table 2: Secondary Conditions
Text
Description of Table 2
| Top Ten Secondary Conditions |
VR Average Severity Rating |
CIL Average Severity Rating |
Fatigue |
1.67 |
1.50 |
Deconditioning |
1.71 |
1.54 |
Sleep Disturbance |
1.67 |
1.21 |
Joint Pain |
1.64 |
1.32 |
Chronic Pain |
1.62 |
1.21 |
Depression |
1.28 |
.92 |
Arthritis |
1.32 |
.96 |
Weight |
1.24 |
1.13 |
Anger |
.91 |
.80 |
Mobility |
.96 |
1.22 |
Using t-test group comparisons, the VR and CIL respondents had similar scores on
the
Health Promoting Lifestyle Inventory scale at baseline. However, the VR sample
reported less satisfaction with overall health (p = .02) and more days of
limitation due to
health issues. Table 3 compares the two samples on reported days of limitation.
There
were significant group differences at baseline in days of limitation due to
physical
health, pain, anxiety, and difficulty sleeping.
Table 3: Days of Limitation
Text Description
of Table 3
During the past 30 days, for
about how many days... |
VR |
CIL |
Sig. |
...was your physical health not
good? |
12.0 |
9.83 |
.02 |
...did poor physical or mental
health health keep you from doing your usual activities, such as self-care,
work or recreation? |
8.45 |
7.63 |
.35 |
...was your mental health not
good? |
9.61 |
8.49 |
.22 |
...did pain make it hard for you
to do your usual activities, such as self-care, work or recreation? |
13.66 |
9.36 |
.00 |
...have you felt sad, blue or
depressed? |
9.79 |
8.24 |
.08 |
...have you felt worried, tense
or anxious? |
12.97 |
9.90 |
.00 |
...have you felt that you did
not get enough rest or sleep? |
16.07 |
11.58 |
.00 |
Over the next two years, RTC: Rural will collect longitudinal data
from the
VR sample at 6-month intervals. Follow-up data collection includes questions
about the
participant's progression through VR services, including employment, training,
and
educational outcomes. These data will be used to create a regression model to
determine the probability of successful employment placement, based on
presenting
secondary conditions and lifestyle behaviors.
Findings that link secondary health conditions, health promoting lifestyle
behaviors, and
employment outcomes (i.e. lower rates of secondary conditions and higher rates
of
health promoting behaviors are associated with better employment outcomes),
build a
case for VR support of health promotion services. CIL consumers experienced
significant decreases in the incidence and prevalence of secondary conditions,
significant improvements in health promoting lifestyle behaviors, and
significant
decreases in medical costs after participation in the eight-week Living Well
with a
Disability health promotion program (Ravesloot, Seekins, & White, 2005). If
these
types of health changes contribute to successful employment outcomes, it will
make
sense for VR to fund health promotion activities.
Next steps include modifications to, and pilot testing of, the Living Well with
a Disability health promotion curriculum in a VR setting.
References
Aldana, S.G. (2001). Financial impact of health promotion programs: A
comprehensive
review of the literature. American Journal of Health Promotion, 15, 296-320.
Harris Interactive, Inc. (2004). N.O.D./Harris 2004 survey of Americans with
disabilities
(Study No. 20835). New York: Author.
Pelletier, K. (2001). A review and analysis of the clinical- and
cost-effectiveness studies
of comprehensive health promotion and disease management programs at the
worksite: 1998-2000 update. American Journal of Health Promotion, 16, 107-116.
Ravesloot, C., Seekins, T., & White, G. (2005). Living Well with a Disability health
promotion intervention: Improved health status for consumers and lower costs for
health care policymakers. Rehabilitation Psychology, 50, 239-245.
For more information, contact:
Catherine Ipsen, M.A., Research and Training
Center on
Disability in Rural Communities, The
University of Montana Rural Institute: A
Center of
Excellence in Disability Education, Research and
Services, 52 Corbin Hall, Missoula, MT 59812-7056
888-268-2743 toll-free
406-243-5467 (V)
406-243-4200 (TTY)
406-243-2349 (fax)
email the Rural Institute
| http://rtc.ruralinstitute.umt.edu